GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking. - Patrick H. Chen; Si Si; Yang Li 058; Ciprian Chelba; Cho-Jui Hsieh (NeurIPS, 2018)

MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model. - Yukun Ma; Patrick H. Chen; Cho-Jui Hsieh (EMNLP/IJCNLP (1), 2019)

Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks. - Patrick H. Chen; Si Si; Sanjiv Kumar; Yang Li 058; Cho-Jui Hsieh (ICLR (Poster), 2019)

Efficient Contextual Representation Learning Without Softmax Layer. - Liunian Harold Li; Patrick H. Chen; Cho-Jui Hsieh; Kai-Wei Chang (CoRR, 2019)

Overcoming Catastrophic Forgetting by Generative Regularization. - Patrick H. Chen; Wei Wei 019; Cho-Jui Hsieh; Bo Dai 001 (CoRR, 2019)

Efficient Contextual Representation Learning With Continuous Outputs. - Liunian Harold Li; Patrick H. Chen; Cho-Jui Hsieh; Kai-Wei Chang (Trans. Assoc. Comput. Linguistics, 2019)

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. - Minhao Cheng; Simranjit Singh 003; Patrick H. Chen; Pin-Yu Chen; Sijia Liu 001; Cho-Jui Hsieh (ICLR, 2020)

Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. - Jyun-Yu Jiang; Patrick H. Chen; Cho-Jui Hsieh; Wei Wang 010 (WWW, 2020)

DRONE: Data-aware Low-rank Compression for Large NLP Models. - Patrick H. Chen; Hsiang-Fu Yu; Inderjit S. Dhillon; Cho-Jui Hsieh (NeurIPS, 2021)

ELIAS: End-to-End Learning to Index and Search in Large Output Spaces. - Nilesh Gupta; Patrick H. Chen; Hsiang-Fu Yu; Cho-Jui Hsieh; Inderjit S. Dhillon (NeurIPS, 2022)

FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. - Patrick H. Chen; Wei-Cheng Chang; Hsiang-Fu Yu; Inderjit S. Dhillon; Cho-Jui Hsieh (CoRR, 2022)

End-to-End Learning to Index and Search in Large Output Spaces. - Nilesh Gupta; Patrick H. Chen; Hsiang-Fu Yu; Cho-Jui Hsieh; Inderjit S. Dhillon (CoRR, 2022)

FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. - Patrick H. Chen; Wei-Cheng Chang; Jyun-Yu Jiang; Hsiang-Fu Yu; Inderjit S. Dhillon; Cho-Jui Hsieh (WWW, 2023)